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A New Framework for IPv6 Crossing GPRS Network

A New Framework for IPv6 Crossing GPRS Network

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Shujing Li Siguo Chen Jian Wang Yanheng Liu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012 China

ISBN: (纸本)9781424472352

In order to realize that IPv6 (Internet Protocol version 6) clients are able to visit remote IPv6 servers through GPRS (General Packet Radio Service), we proposed a new and feasible framework. After discussing the limitations of those existing methods which aren't suitable for GPRS network, we then detailedly demonstrated the proposed framework, and also gave the implementations based on NetFilter framework, Libnet as well as Libipq. Simulation results show that the isolated IPv6 areas can be efficiently connected by GPRS network through the presented framework.

关键词： IPv4 IPv6 GPRS Wireless Access tunnel

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Semi-automatic ontology construction based on text learning

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Journal of Information and computational Science 2010年第2期7卷 495-501页

作者： Wang, Ying Zuo, Wanli Peng, Tao Sun, Yifei College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Computation and Knowledge Engineering Ministry of Education China

This paper proposes a method of semi-automatic ontology construction based on text learning. Firstly, construct a core ontology by ontology tool, then extract domain related terms by both text classification method and keyword extraction method to produce ontology conception candidate set. Lastly, judge the semantic relationships between domain terms and ontology concepts by phrase similarity method, and add the matching concepts to the core ontology to finish the ontology expansion automatically. Experiment result shows that this method is feasible, which not only improves the construction efficiency, but also ensures the ontology quality. Copyright © 2010 Binary Information Press.

关键词： Ontology

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Research on Indoor Wireless Localization System for Radioactive Sources Based on ZigBee

Research on Indoor Wireless Localization System for Radioact...

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International Conference on Computing Control and Industrial engineering (CCIE)

作者： Ruixue Li Zhiyi Fang Baocong Hao Fengjie Yang College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Qiming Information Technology Company Limited Changchun China

ISBN: (纸本)9781424467501

This paper made a good many research on the related theory about indoor localization technology, and pointed out the key techniques for the proposed remote wireless monitoring system solution for radioactive sources. Because of the specificity of system monitoring objects-radioactive sources, ZigBee technology was adopted to implement the monitoring system, by studying the typical indoor localization technology. Functional requirements and difficulties in implementation, during the indoor localization of radioactive sources, were analyzed from three points of view. After the detailed planning of the ZigBee network nodes, the indoor wireless localization system for radioactive sources was designed. Four major functional modules, including system management, serial communication, data processing, and data storage, were devised to realize the host computer. Testing environment was constructed to test the localization system. Test results show that the indoor wireless localization system can meet users' requirements, controlling the localization error in the range of 3m.

关键词： ZigBee Remote monitoring Control systems System testing Wireless sensor networks Indoor environments Radio control educational technology Paper technology Global Positioning System

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A community mining algorithm for web texts based on Multi-agent system

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Journal of computational Information Systems 2010年第11期6卷 3509-3516页

作者： Yang, Hui Wang, Zhe Zhou, Xu Zhou, Tong Wang, Zuo College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbol Computation and Knowledge Engineering Ministry of Education China

Most of the existing methods for community discovery only deal with social network with a fixed structure, so they can not effectively deal with dynamic social network. This paper proposes a Multi-agent system method which is applied to real-time dynamic web texts for community discovery. This method combines the multi-agent system control mechanisms with community discovery algorithm. The approach not only divides community for the published web text, but also changes the community division according to the newly updated contents of web texts. Meanwhile, the similarity of two web texts is evaluated through similarity algorithm which compares content similarity and semantic similarity. The effectiveness of this algorithm has been tested on real web texts networks and experiment 3 illustrated the scalability of our algorithm for dynamic community discovery of web texts. © 2010 Binary Information Press.

关键词： Semantics

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Optimization strategy of parallel query processing based on multi-core architecture

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Journal of Convergence Information Technology 2010年第8期5卷 24-24页

作者： Chen, Yongheng Zuo, Wanli He, Fengling Chen, Kerui College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun China

Chip Multi-Processor (CMP) could support more than two threads to execute simultaneously, and some executing units are owned by each core. Because threads share various resources of CMP, such as L2-Cache, among many threads, CMP system is inherently different from multiprocessors system and, CMP is also different from simultaneously multithreading (SMT). In this paper a novel and complete approach on how to parallelism for relational database multithreaded query execution that strives for maximum resource utilization for both CPU and disk activities. The focus of this approach is on how to use the multithreaded parallel technique to optimize and process queries based on multi-core architecture. A set of algorithms for implementing and optimizing the best query plan, such as the algorithms for scheduling and parallel executing the query plan, the algorithms for allocating thread to sub-query and memory to the buffers between operations in pipelining execution, are proposed in this method. Additionally this paper analysis and optimize the implementation of parallel buffers and multithread. In the experiments, this paper evaluates performance of the parallel buffers and tests the coordination of the multithread.

关键词： Scheduling algorithms

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Cooperative coevolutionary genetic algorithms to find optimal elimination orderings for Bayesian networks

Cooperative coevolutionary genetic algorithms to find optima...

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Dong, Xuchu Yu, HaiHong Ouyang, Dantong Cai, Dianbo Ye, Yuxin Zhang, Yonggang Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre Jilin Branch China Telecom Corporation Limited Changchun Jilin China

ISBN: (纸本)9781424464388

According to the characteristics of the optimal elimination ordering problem in Bayesian networks, a heuristic-based genetic algorithm, a cooperative coevolutionary genetic framework and five grouping schemes are proposed. Based on these works, six cooperative coevolutionary genetic algorithms are constructed. Numerical experiments show that these algorithms are more robust than other existing swarm intelligence methods when solving the elimination ordering problem. © 2010 IEEE.

关键词： Bayesian networks

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A hybrid discrete PSO-SA algorithm to find optimal elimination orderings for Bayesian networks

A hybrid discrete PSO-SA algorithm to find optimal eliminati...

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2010 2nd International Conference on Industrial and Information Systems, IIS 2010

作者： Dong, Xuchu Ouyang, Dantong Cai, Dianbo Zhang, Yonggang Ye, Yuxin Department of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun Jilin China Network Monitor Maintenance Centre Jilin Branch China Telecom Corporation Limited Changchun Jilin China

ISBN: (纸本)9781424482177

In this paper, a hybrid algorithm named DPSO-SA is proposed to find near-to-optimal elimination orderings in Bayesian networks. DPSO-SA is a discrete particle swarm optimization method enhanced by simulated annealing. computational tests show that this hybrid method is very effective and robust for the elimination ordering problem. © 2010 IEEE.

关键词： Simulated annealing

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Soil fertility grading with Bayesian Network transfer learning

Soil fertility grading with Bayesian Network transfer learni...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hai-Yang Jia Juan Chen He-Long Yu Da-You Liu College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China College of Information technology Jilin agricultural University Changchun Jilin China

Soil fertility grading is an important issue in the agriculture domain, AI based approach has been applied recently. But in most circumstance data obtaining is a expensive and time consuming procedure, sometimes even impossible. This paper presents a Bayesian Network based transfer learning algorithm. The existing training results can be transferred between the nearby land squares. The proposed algorithm considers both the similarity between the learning task and the geographical position of the land squares. Empirical experiment were implemented to prove the efficiency of the algorithm.

关键词： Bayesian methods Machine learning Learning Soil Random variables Machine learning algorithms Training data

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Analysis the uncertainties of the Ant Colony Algorithm

Analysis the uncertainties of the Ant Colony Algorithm

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International Conference on computational Aspects of Social Networks, CASON

作者： Zhang, Yi Zhang, Meng Cao, Xin-Yan Department of Information Engineer Jilin Business and Technology College Changchun 130062 China College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun 130012 China College of Electronic Information Engineering University of Changchun Changchun Jilin Province 130000 China

ISBN: (纸本)9780769542027

In this paper, the subject of discussion is the uncertainties of Ant Colony Algorithm(ACA). In order to find application and popularize the ACA, we try to find some disciplinarians which can eliminate the impact of uncertainties in our algorithm and find the best assembled of the parameters by a series of experiments. Results show that our works had great effects in practicality. © 2010 IEEE.

关键词： Traveling salesman problem

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Automatic generation of domain-specific ontology from deep web

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Journal of Information and computational Science 2010年第2期7卷 519-525页

作者： Chen, Kerui Zuo, Wanli Zhang, Fan He, Fengling Peng, Tao College of Computer Science and Technology Jilin University Changchun 130012 China College of Information Engineering Zhongzhou University Zhengzhou 450044 China Key Laboratory of Computation and Knowledge Engineering Ministry of Education China

In Deep Web, there are various methods of studying extraction of data records. After carefully reviewing and analyzing those methods, we find that the problem of dealing with either zero or fewer query results and nested data structure still exists. By using ontology's cooperation, the problem would be solved easily. We observe that query interfaces and data pages of the sources often contain rich information on concepts, instances, and concept relationships in the application domain. This proposal proposes a method combined query interface and query result, to automatically extract specific domain ontology. In addition, the ontology model, which was designed based on the structured and semi-structured characteristics of deep web, also can assist the process of extracting deep web result pages. Experimental results approve that our method can get more comprehensive concepts, simple domain-specific ontology is more convenient for being applied in data extraction. Copyright © 2010 Binary Information Press.

关键词： Ontology

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